Path and Structural Equation Models for High-Dimensional Data in Bioinformatics with Applications for Aging Research / Timo Törmäkangas
The project aims to combine large-scale molecular databases and develop statistical models for the assessment of pathways linking molecular information to complex phenotype expressions such as hypertension. The resulting models are applied to data from monozygotics twins of the SAWES-study and families of the Calex-study, and simulation studies are used to investigate model properties. The project is carried out in the Gerontology Research Centre, University of Jyväskylä in collaboration with the Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, China, and Karolinska Institutet, Sweden. Project results are expected to provide statistical tools that may ultimately assist in finding personalized forms of medication and treatments.